Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
computational model that explains how people regulate their resources (e.g., time, energy) across multiple life roles and identities (e.g., worker, parent, community member), how this process affects life
-
to work in teams, liaise with stakeholders, and negotiate across multiple organisational levels; excellent interpersonal and communication skills Adaptability & Independence: Proven ability to manage
-
evaluation, inter-reader agreement analysis, kappa statistics, and related assessment methods · Familiarity with model validation across multiple sites, scanners, or imaging vendors · Proficiency
-
, transform, and load data from multiple sources including APIs, databases, and streaming platforms. Enhance the efficiency and responsiveness of data systems by applying techniques such as query optimisation
-
) or a closely related field. Technical proficiency: You must have relevant experience in high-level programming (e.g. Python) and an understanding of large language model (LLM) architectures and training
-
data, integrating multiple data sources, and supporting analytical modelling that informs infrastructure planning and policy. The position emphasises robust data engineering practices, reproducible
-
or more relevant platforms or technologies, such as: Copilot Studio o Power Automate / Power Apps, Power BI and semantic data models, Dataverse or relational databases, APIs, REST/JSON integrations Python
-
University of New South Wales (UNSW) in Canberra has multiple locations in the Nation’s Capital. UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and
-
econometric skills and proficiency in statistical programming using software such as Stata, R, or Python. Experience with administrative data and knowledge of advanced techniques, including structural
-
visualisations Extract, integrate and analyse data from multiple systems using tools such as SQL and Power BI Translate business requirements into reporting and analytical outputs Identify trends, patterns and